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projects in the rapidly growing field of multimodal representation learning and retrieval. The specific responsibilities of the postdoctoral fellow will include: conduct scientific research in the field
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field, and demonstrate a track record of publications in peer-reviewed journals. Exceptional proficiency in English is a prerequisite, and a working knowledge of French is preferred. The successful
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. Knowledge and understanding of the chemical composition of fertilizers and their interaction with porous materials. Employ various techniques to thoroughly characterize fertilizers, evaluating their chemical
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, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP
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systems, knowledge management, and decision-support tools Forecasting, monitoring, and early warning systems Environmental sustainability and sustainable development Through strong collaboration with
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, FTIR, DLS). Knowledge of applications of magnetic nanoparticles in areas such as drug delivery, imaging, catalysis, or environmental remediation is a plus. Strong problem-solving skills, ability to work
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research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning
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Science, Chemical Processes, or a related engineering discipline. A strong background in electrochemical surface science. Proficiency in elemental and structural analysis using various techniques. Knowledge
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strong background in electrochemical analysis of battery materials Proficiency in elemental and structural analysis using various techniques. Knowledge of advanced structural characterizations (highly